Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury

Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury

Recent advances in emergency medicine and the co-ordinated delivery of trauma care mean more critically-injured patients now reach the hospital alive and survive life-saving operations. Indeed, between 2008 and 2017, the odds of surviving a major traumatic injury in the UK increased by nineteen perc...

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Detaylı Bibliyografya
Asıl Yazarlar: Animesh Acharjee, Jon Hazeldine, Alina Bazarova, Lavanya Deenadayalu, Jinkang Zhang, Conor Bentley, Dominic Russ, Janet M. Lord, Georgios V. Gkoutos, Stephen P. Young, Mark A. Foster
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2021-12-01
Seri Bilgileri:Metabolites
Konular:
metabolomics
omics integration
ICU length of stay
inflammation
Online Erişim:https://www.mdpi.com/2218-1989/12/1/29

Internet

https://www.mdpi.com/2218-1989/12/1/29

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